Use cases
Asset infrastructure for the job at hand.
How physics-ready content supports training, evaluation, synthetic data, and digital-twin workflows.
3D Assets for Better Sim-to-Real Transfer
Close the sim-to-real gap with physically accurate 3D assets. Rigyd generates simulation objects with calibrated mass, friction, and collision meshes, reducing real-world deployment failures.
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Simulations Across Every Scenario and Edge Case
Generate diverse, physically accurate 3D assets for domain randomization. Thousands of unique objects with calibrated mass and friction, covering every scenario and edge case.
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3D to Digital Twin Pipeline
Turn 3D CAD and BIM models into physically accurate digital twins. Rigyd converts factory and warehouse models into SimReady OpenUSD with mass, friction, and collision meshes at thousands-of-objects scale.
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Physically Accurate Synthetic Data Generation
Generate physically accurate synthetic training data for robotics. Rigyd builds the SimReady 3D asset layer, mass, friction, collision meshes, that Isaac Sim Replicator, Omniverse, and custom pipelines need for transferable datasets.
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RL Training Environments
Build reinforcement learning training environments with physically accurate 3D assets. Rigyd generates SimReady objects with calibrated mass, friction, and collision meshes for robot RL in Isaac Lab, MuJoCo, and Brax.
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SimReady Assets for Robot Policy Evaluation and Testing
Use Rigyd-generated SimReady assets for held-out policy evaluation, regression testing, safety scenarios, and pre-deployment validation. Reproducible, scalable, and matches the real environment.
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